Review for 2nd quiz.docx - Review for 2nd quiz 1 Chi-square diffrences between observed and expected frequencies Test of goodness of fit chi square only

Review for 2nd quiz.docx - Review for 2nd quiz 1 Chi-square...

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Review for 2 nd quiz 1. Chi-square- diffrences between observed and expected frequencies. Test of goodness of fit chi square- only one catergoical variable. Expected and observed. Which kind of treatment like you are signing up for. Test of independence chi sqare- two different varaibles you can have frequinces for. Multiple catgerogical variables. 2. T-test- comparing two groups. One sample t-test- one sample comparing it to a population. Independent t-test- two groups that are independent of one another. Different from each other. Dependent t-test- two samples same group of people. Something linking them. Before a treatment and after a treatment. 3. ANOVA- more then two groups. One-way ANOVA- one factor, but has at least 3 levels. Like smoking break. Between
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Unformatted text preview: groups, each group different. Repeated measures ANOVA- can be called dependent anova, more than 2 levels. Test with rats same one gets the same treatment. Within subjects. 4. Correlation- continuous, using two dependent variables height and weight. 5. Regression- predict outcome Simple regression-independent- Multiple regression- dependent- may different variables and one variable of interest * You have to know when each statistical method can be used. Example 1. To test if the observed frequency distribution fits a theoretical, expected distribution: test of goodness of fit chi square . Example 2. Researchers want to predict the baby’s birth weight from his/her birth length: simple regression ....
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